class_docstr: To use a Google Storage bucket as the storage backend, set ``data.file_client_args`` field of
  the experiment config as follows:
  
  .. code-block:: yaml
  
      data:
        file_client_args:
          backend: gcs
          bucket_name: <FILL IN>
code: def get_text(self, filepath: str) -> Any:
      raise NotImplementedError
  
imports: import contextlib
  import logging
  import os
  import tempfile
  import time
  from typing import Any, Dict, Iterator, List, Optional, Union, cast
  import boto3
  import mmcv
  from google.cloud import storage
  import determined
  import model_hub.utils
label_desc: Use image node_id 3 for calling the GCSBackend obj's underlying member method code with example usage: obj.get_text(filepath) without return types